• DocumentCode
    2571647
  • Title

    Low-complexity optimal energy-efficient resource allocation in downlink OFDMA networks

  • Author

    Wu, Fan ; Mao, Yuming ; Huang, Xiaoyan ; Leng, Supeng

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2012
  • fDate
    19-21 Oct. 2012
  • Firstpage
    46
  • Lastpage
    51
  • Abstract
    With the explosive growth of wireless data traffic, the energy-efficient design in wireless networks is becoming an inevitable trend. In this paper, we study the low-complexity design issue of energy-efficient radio resource allocation in downlink OFDMA networks. Distinguished from the existing works, we focus on the tradeoff between the energy efficiency and the total transmit power. The closed-form optimal solution is obtained by solving the first-order optimality condition of the energy efficiency maximization problem. Furthermore, based on the analytical solutions, we develop a low-complexity optimal algorithm for the energy-efficient resource allocation. Simulation results show that the proposed algorithm achieves the optimal energy efficiency with significantly lower computational complexity compared with the conventional iterative methods.
  • Keywords
    OFDM modulation; energy conservation; radio access networks; resource allocation; closed-form optimal solution; computational complexity; downlink OFDMA networks; energy efficiency maximization problem; energy-efficient design; energy-efficient radio resource allocation; first-order optimality condition; low-complexity design; low-complexity optimal algorithm; low-complexity optimal energy-efficient resource allocation; optimal energy efficiency; wireless data traffic; wireless networks; Algorithm design and analysis; Downlink; Energy consumption; Energy efficiency; Equations; Iterative methods; Resource management; Energy efficiency (EE); OFDMA; resource allocation; water level;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Problem-Solving (ICCP), 2012 International Conference on
  • Conference_Location
    Leshan
  • Print_ISBN
    978-1-4673-1696-5
  • Electronic_ISBN
    978-1-4673-1695-8
  • Type

    conf

  • DOI
    10.1109/ICCPS.2012.6384274
  • Filename
    6384274